@InProceedings{AudigierLotu:2006:DuThWa,
author = "Audigier, Romaric and Lotufo, Roberto",
affiliation = "{FEEC - Unicamp} and {FEEC - Unicamp}",
title = "Duality between the watershed by image foresting transform and the
fuzzy connectedness segmentation approaches",
booktitle = "Proceedings...",
year = "2006",
editor = "Oliveira Neto, Manuel Menezes de and Carceroni, Rodrigo Lima",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 19.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "image segmentation, watershed, mathematical morphology, image
foresting transform, graph theory, fuzzy connectedness.",
abstract = "This paper makes a rereading of two successful image segmentation
approaches, the fuzzy connectedness (FC) and the watershed (WS)
approaches, by analyzing both by means of the Image Foresting
Transform (IFT). This graph-based transform provides a sound
framework for analyzing and implementing these methods. This
paradigm allows to show the duality existing between the WS by IFT
and the FC segmentation approaches. Both can be modeled by an
optimal forest computation in a dual form (maximization of the
similarities or minimization of the dissimilarities), the main
difference being the input parameters: the weights associated to
each arc of the graph representing the image. In the WS approach,
such weights are based on the (possibly filtered) image gradient
values whereas they are based on much more complex affinity values
in the FC theory. An efficient algorithm for both FC and IFT-WS
computation is proposed. Segmentation robustness issue is also
discussed.",
conference-location = "Manaus, AM, Brazil",
conference-year = "8-11 Oct. 2006",
doi = "10.1109/SIBGRAPI.2006.14",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2006.14",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/LM9QC",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/LM9QC",
targetfile = "audigier-dualityIFT.pdf",
urlaccessdate = "2025, Feb. 10"
}